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USU Camas-1 Test Well: Documentation

This submission contains documents that describe the USU Camas-1 test well, drilled in Camas Prairie, Idaho, in Fall 2018 and Fall 2019. The purpose of this well is to validate exploration methodologies of the Snake River Plain (SRP) Play Fairway Analysis (PFA) project.

Shervais, J. Utah State University

Oct 31, 2018
13 Resources
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Utah FORGE: Well 58-32 Stimulation Data

Pressure, temperature, and flow data from open-hole, upper perforation, and lower perforation well stimulations gathered from various tools collected at well 58-32 during phase 2C.

Best, S. Geothermal Resource Group

Apr 20, 2019
16 Resources
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Utah FORGE: Well 16A(78)-32 Drilling Data

This dataset includes survey data, drilling data, daily reports, summaries of daily operations, and rig photos from the drilling of Utah FORGE well 16A(78)-32, which is a highly deviated deep well. It was completed 60 days ahead of schedule. Rig move in began 10/22/2020 and dril...

McLennan, J. et al Energy and Geoscience Institute at the University of Utah

Jan 08, 2021
15 Resources
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Utah FORGE: Well 16A(78)-32: Summary of Drilling Activities

This is a 74 page detailed summary of the drilling activities of Utah FORGE 16A(78)-32, a highly deviated well completed on February 2nd, 2021, as part of the Utah FORGE project. This well was deviated at 65 degrees from vertical after reaching 6000 feet in depth had a total measu...

Winkler, D. et al Energy and Geoscience Institute at the University of Utah

Mar 20, 2021
1 Resources
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CO2 Push-Pull Single Fault Injection Simulations

ASCII text files containing grid-block name, X-Y-Z location, and multiple parameters from TOUGH2 simulation output of CO2 injection into an idealized single fault representing a dipping normal fault at the Desert Peak geothermal field (readable by GMS). The fault is composed of a ...

Borgia, A. et al Lawrence Berkeley National Laboratory

Sep 21, 2017
5 Resources
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Utah FORGE Report on the Thermal Properties of Wells 16A(78)-32 & 58-32 Granite

This is a report from Metarock Laboratories on the thermal properties of Utah FORGE wells 16A(78)-32 & 58-32 granite. The report includes pictures of core samples, core details for the samples (where the sample was taken and the size of the sample), sample thermal expansion test r...

Laboratories, M. et al Energy and Geoscience Institute at the University of Utah

May 04, 2021
1 Resources
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Utah FORGE: Well 78-32 Capacity Test

This dataset includes an Excel spreadsheet with Utah FORGE Phase 2c Well 78-32 capacity data. It also includes a readme file discussing the data which also includes the well coordinates.

Kirby, S. and Gall, R. Energy and Geoscience Institute at the University of Utah

Jun 20, 2019
2 Resources
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Utah FORGE Deep Wells Water and Gas Sampling with Analyses by ThermoChem (October, 2022)

This data includes a document that describes the effort to collect and analyze water and gas samples from deep Utah FORGE wells 16A(78)-32, 58-32, 56-32 and 78B-32 along with additional pdf files showing ThermoChem's analyses attached as an appendix.

Joness, C. Energy and Geoscience Institute at the University of Utah

Oct 26, 2022
2 Resources
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Utah FORGE: 58-32 Injection and Packer Performance, April and May 2019

This is a PDF format summary report regarding the performance of a packer, which failed, and bridge plug used during the injection program in Utah FORGE deep Well 58-32, April and May, 2019.

McLennan, J. and Podgorney, R. Energy and Geoscience Institute at the University of Utah

Mar 22, 2020
1 Resources
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Utah FORGE: Phase 2C Topical Report

This is the topical report that wraps up the work and results achieved during Utah FORGE Phase 2C. The zip file includes several folders containing (1) an overview; (2) the results; (3) the lessons learned; and (4) the conclusions. It also contains a folder containing appendices i...

Moore, J. et al Energy and Geoscience Institute at the University of Utah

Dec 11, 2019
2 Resources
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Utah FORGE: Deep Well 58-32 (MU-ESW1) Core Data

These datasets, images, and graphics were derived from core drilling and core that was extracted from Utah Forge deep well 58-32 (originally called MU-ESW1), near Roosevelt Hot Springs.

Nash, G. and Moore, J. Energy and Geoscience Institute at the University of Utah

Apr 11, 2018
5 Resources
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Utah FORGE Well 58-32 Granite Core Thermal Properties Test Results Report (Oct. 2021)

This is a presentaiton from Metarock Laboratories on the thermal properties of Utah FORGE well 58-32 granite core. The presentation includes pictures of core samples, core details for the samples (sample depths and size), sample thermal expansion test results, and radial velocity ...

Laboratories, M. Energy and Geoscience Institute at the University of Utah

Oct 29, 2021
1 Resources
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
2 Resources
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CO2 Push-Pull Dual (Conjugate) Faults Injection Simulations

This submission contains datasets and a final manuscript associated with a project simulating carbon dioxide push-pull into a conjugate fault system modeled after Dixie Valley- sensitivity analysis of significant parameters and uncertainty prediction by data-worth analysis. Datas...

Oldenburg, C. et al Lawrence Berkeley National Laboratory

Jul 20, 2017
2 Resources
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Utah FORGE Well 16A(78)-32 Stage 1 Pressure Falloff Analysis

This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic...

Kazemi, H. et al Colorado School of Mines

Aug 04, 2022
1 Resources
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Utah FORGE: Well 16A(78)-32 Simplified Discrete Fracture Network Data

The FORGE team is making these fracture models available to researchers wanting a set of natural fractures in the FORGE reservoir for use in their own modeling work. They have been used to predict stimulation distances during hydraulic stimulation at the open toe section of well 1...

Finnila, A. Golder Associates Inc.

Jun 01, 2021
3 Resources
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Utah FORGE: Well 58-32 Stimulation Conference Paper and Data

The U.S. Department of Energy's (U.S. DOE) Frontier Observatory for Research in Geothermal Energy (FORGE) is a field laboratory that provides a unique opportunity to develop and test new technologies for characterizing, creating and sustaining Enhanced Geothermal Systems (EGS) in ...

Best, S. Energy and Geoscience Institute at the University of Utah

Apr 24, 2019
2 Resources
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Utah FORGE: Phase 1a Tensor Strainmeter Data for the April, 2022 Stimulation of Well 16A(78)-32

Data from two Tensor Optical Fiber Strainmeters that were operational during Stages 1, 2, and 3 of the April, 2022 stimulation of well 16A(78)-32. Each csv file contains data from each stimulation stage (stage1, stage2, stage3) for both Phase 1a strainmeter installations (FS01, f...

DeWolf, S. and Murdoch, L. Clemson University

Sep 15, 2022
8 Resources
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Utah FORGE Well 16A(78)-32 Stimulation Data (April, 2022)

This is a set of data related to the stimulation program at Utah FORGE well 16A(78)-32 during April, 2022. This includes daily reports, 1 second Pason data, tracer data, and shear stimulation data and information including a report of an evolving prognosis for the stimulation oper...

McLennan, J. Energy and Geoscience Institute at the University of Utah

May 18, 2022
11 Resources
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Utah FORGE Project 2439: A Multi-Component Approach to Characterizing In-Situ Stress

Core-based in-situ stress estimation, Triaxial Ultrasonic Velocity (labTUV) data, and Deformation Rate Analysis (DRA) data for Utah FORGE well 16A(78)-32 using triaxial ultrasonic velocity and deformation rate analysis. Report documenting a multi-component approach to characterizi...

Bunger, A. et al Battelle Memorial Institute

Dec 13, 2022
4 Resources
0 Stars
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EGS Collab Experiment 2: Core Logs

Core logs and photos from the EGS Collab project Experiment 2 for the Top Vertical well (TV4100) and the Top Horizontal well (TV 4100) on the 4100 Level of SURF (the Sanford Underground Research Facility). The core logs are stored in a single PDF file with 5-ft run intervals. In t...

Dobson, P. et al Lawrence Berkeley National Laboratory

Jul 08, 2019
7 Resources
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Silver Peak Innovative Exploration Project (Ram Power Inc.)

Data generated from the Silver Peak Innovative Exploration Project, in Esmeralda County, Nevada, encompasses a deep-circulation (amagmatic) meteoric-geothermal system circulating beneath basin-fill sediments locally blanketed with travertine in western Clayton Valley (lithium-rich...

Miller, C. Ram Power, Inc.

Jan 01, 2010
27 Resources
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Utah FORGE: Evaluation of Potential Geochemical Responses to Injection in the FORGE Geothermal Reservoir

Plugging of fracture porosity from mineral precipitation due to injecting cold water into a a geothermal reservoir can impact the overall permeability of the fracture network in the reservoir. This can have serious ramifications on the efficiency of the geothermal resource. Geoche...

Patil, V. and Simmons, S. Energy and Geoscience Institute at the University of Utah

Apr 03, 2019
1 Resources
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Utah FORGE: Stimulation Crosswell Strain Response Fiber Optic Monitoring Report April 2024

This report documents the use of fiber optic Rayleigh frequency shift (RFS) Distributed Strain Sensing (DSS), Distributed Temperature Sensing (DTS), and microseismic data recorded during the hydraulic fracture stimulation of well 16A(78)-32, as detected in the offset well 16B(78)-...

Jurick, D. et al Neubrex Energy Services (US), LLC

Apr 03, 2024
1 Resources
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Utah FORGE Project 2439: Machine Learning for Well 16A(78)-32 Stress Predictions September 2023 Report

This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum horizontal (SHmax) stresses in well 16A(78)-32. The detailed description of the experimental...

Mustafa, A. et al Battelle Memorial Institute

Sep 28, 2023
3 Resources
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